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Dataset Partition Sizes — Exact Row Deduplication + Date by Category Pivot
x402
Dataset Partition Sizes — Exact Row Deduplication + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-11).
Runs two analytical reports on dataset partition size records: exact row deduplication and a date-by-category pivot of row_count or file_mb values, for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset partition sizes — Exact row deduplication + Date by category pivot: Exact row deduplication + Date by category pivot for supplied dataset partition sizes records (row_count, file_mb). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two reports: (1) a deduplicated set of the supplied partition size rows with exact duplicates removed, and (2) a pivot table cross-tabulating the selected metric (row_count or file_mb) by date and dataset_group category — all computed locally with no external lookups.
Example use cases
Clean duplicate partition logs before reporting
“I've got a batch of dataset partition size records that may have exact duplicate rows — can you deduplicate them and also give me a pivot of file_mb by date and dataset_group? Here are up to 200 rows with row_id, dataset_group, date, row_count, and file_mb.”
Cross-tab row counts by date and team
“I need to see how row_count is distributed across different dataset groups for each date in my partition size data — can you deduplicate the records first and then produce a date-by-category pivot table for row_count?”
Audit storage growth across dataset partitions
“Can you take my dataset partition size records and run two reports: one that removes exact duplicate rows, and another that pivots file_mb by date and dataset_group so I can see storage trends across groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-07-052?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact row deduplication and a date-by-category pivot on dataset partition size records (row_count and/or file_mb) in a single low-cost call. It is ideal for data engineers auditing partition logs, cleaning ETL output, or summarizing storage metrics across groups over time. Prefer this over general-purpose analytics tools when working with small-to-medium batches (up to 200 rows) and you want both a cleaned deduplicated dataset and a cross-tab pivot in one operation for $0.01.
Side effects
- Input array is empty or exceeds 200 rows — rejected with validation error
- date field does not match YYYY-MM-DD pattern — row rejected or error returned
- row_id is missing or empty — validation failure
- field enum value is not 'row_count' or 'file_mb' — request rejected
- All rows are duplicates, resulting in empty deduplicated output
- Numeric fields (row_count, file_mb) are null for all rows, producing empty pivot
- Payment of 0.01 USDC not completed — request blocked by x402 paywall
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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